Showing 16 of 16 projects
A curated list of insanely awesome libraries, packages, and resources for Quantitative Finance (Quants).
A Python library for downloading market data from Yahoo! Finance's public API.
An open-source C# platform for algorithmic trading and quantitative analysis across stocks, forex, crypto, and options markets.
A Java library providing a consistent API for trading and accessing market data across 60+ cryptocurrency exchanges.
A third-party Python API client for connecting to Interactive Brokers' online trading system.
A comprehensive Go library for technical analysis, offering indicators, strategies, and backtesting with no external dependencies.
A Python wrapper for the Shanghai Futures Exchange CTP API, enabling programmatic trading and market data access.
A composable, real-time market data and trade execution toolkit for orchestrating trading across multiple venues.
A Rust library for interacting with the Alpaca trading API, providing async access to trading, account, and market data.
A Rust client library for the Coinbase Pro cryptocurrency exchange API with sync, async, and WebSocket support.
A Python SDK for building, backtesting, and deploying AI-powered algorithmic trading bots for crypto markets across 100+ exchanges.
A JavaScript SDK for unified cryptocurrency trading and data access across multiple exchanges like OKX, Bybit, and Bitget.
A Swift client library for accessing Coinpaprika's cryptocurrency market data API.
A Python feeder that connects to Huobi exchange to fetch real-time and historical market data, storing it in MySQL and broadcasting via Redis.
A Go client library for accessing Coinpaprika's cryptocurrency market data API.
A Claude Code skill that generates thesis-driven stock analysis reports with conviction scoring and kill criteria using SEC EDGAR and market data.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.